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jonasliesas

singlestore-mcp-server

by jonasliesas

Pipeline Monitor

pipeline_monitor
Read-only

Open an interactive view of SingleStore pipelines to inspect state, source, latest batch, and errors, then start, stop, or test them with auto-refresh; optionally filter by database.

Instructions

Open an interactive monitor of SingleStore pipelines.

Shows every pipeline's state, source, latest batch and recent errors, with
buttons to start, stop and test pipelines and an auto-refresh. Use this
when the user wants to see or manage pipelines visually.

The result includes ``browser_url``, which opens this view full-window in
the user's browser: post it as a clickable link right under the app.

Args:
    database: Limit to one database. Omit to show pipelines in all databases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.0

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With readOnlyHint=true, the safety profile is already covered, yet the description adds genuinely useful context: the view offers start/stop/test buttons and auto-refresh, and the result carries a browser_url. That pre-empts confusion about whether this tool itself mutates anything. It does not mention permissions or any limits, so it is not exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the action and the usage trigger, then result handling, then args — a sound ordering. Slightly padded and it mixes prose with a Python-style 'Args:' block, but every sentence carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter, no-output-schema tool, the description covers purpose, trigger, the shape of the return (browser_url) and the parameter's semantics. There is no material gap an agent would need filled before calling it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the full burden for the single optional parameter — and it does: 'Limit to one database. Omit to show pipelines in all databases.' Scope and default behavior are both fully specified, leaving nothing ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Open an interactive monitor of SingleStore pipelines') and immediately scopes it to the visual/interactive surface, not raw data. The phrase 'see or manage pipelines visually' implicitly separates it from text-based siblings such as list_pipelines and pipeline_status. An agent can route to it without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit trigger ('Use this when the user wants to see or manage pipelines visually') and even post-call guidance ('post it as a clickable link right under the app'). It never names the sibling it replaces for non-visual cases, so the when-not is left to inference rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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